Job Description

Job Purpose:

The Data Engineer is responsible for collaborating with key stakeholders on current and future needs for data infrastructure that will ensure a scalable, reliable, and secure data footprint. This person should be energized by the opportunity to work with large data sets and have expertise in the creation and management of data sets.

Additionally, this person should be an expert in implementing and operating data flow solutions from data ingestion through data consumption. The Data Engineer will identify, gather and ensure reliable data connections from disparate datasets (Enterprise systems, home-grown databases, and third party sources) to support our data analysts and data scientists as they strive to fulfill key business initiatives. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. An individual who is experienced in enabling data science teams and working in public cloud environments is highly desired.

A typical day is fast-paced, and dynamic and it is necessary to be able to switch gears at a moments notice. Our business partners range from sales and marketing to functions like credit and finance so expect to support many different types of people and needs. Bring your curiosity, energy and enthusiasm.

While we value your technical experience and education in data and analytics, we also greatly value your ability to build relationships, trust and collaboration between IT and business teams. You must be ready to jump in, seek to understand, be flexible, and constantly learn with eagerness and enthusiasm.

Responsibilities:

* Leverage prior experience and industry standard best practices to analyze cross functional data and provide insights to business teams
* Work on a team of data engineers both on-shore and off-shore to deliver data solutions on time
* Build and operate data models and develop DB views, table functions, models in Azure , Snowflake andSAP HANA as well as public cloud data platforms
* Enable data science organization, business groups, and engineering teams to build analytics quickly and effectively
* Follow all documented architecture, design and deployment processes to ensure compliance with policies
* Communicate and reinforce technical standards
* Collaborate with broader IT and engineering teams to build analytics solutions

Knowledge, Skills and Experience:

* 3-5 years of experience in the area of data warehouse or data infrastructure software development

* 3-5 years developing end-to-end business intelligence solutions: data modeling, ETL, and reporting

* 3-5 years in relational database concepts with a solid knowledge of star schema, Oracle, SQL, PL/SQL, SQL Tuning, OLAP, Big Data technologies (HANA, Snowflake or any modern database).

* 2-3 years of SAP HANA database experience

* Expert in working with large databases, BI applications, data quality, and performance tuning

* Experience in design, development, and hands-on implementation of Microsoft Azure cloud solutions is a plus

* Manage and Create Azure data factory pipelines is a plus

* Experience in Logic Apps to manage, integrate data and systems with Azure and automate the workflows is a plus

* Knowledge of other cloud solutions is a plus

* A great communicator and the ability to energize others

* BS/MS in Computer Science or related majors

* Development experience in Python, R, or JavaScript is a bonus

* Experience in machine learning is a big plus

* Excellent communication skills, ability to work individually and in a broader geographically disperse team

Join our team to connect the world with the power of technology!

Tech Data is an equal opportunity organization. We recruit, employ, train, compensate, and promote without regard to race, religion, creed, color, national origin, age, gender, sexual orientation, gender identity, marital status, disability, veteran status, or any other basis protected by applicable federal, state or local law.